SWELL: An open-access experimental dataset for arrays of wave energy conversion systems

Autores
Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; Ferri, Francesco
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy.
Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia
Fil: Peña Sanchez, Yerai. Universidad del País Vasco; España
Fil: Pasta, Edoardo. Politecnico di Torino; Italia
Fil: Papini, Guglielmo. Politecnico di Torino; Italia
Fil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Ferri, Francesco. Aalborg University; Dinamarca
Materia
ARRAY
DATA-BASED MODELLING
FARM
MODEL VALIDATION
WAVE ENERGY
WAVE ENERGY CONVERTERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/227210

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network_name_str CONICET Digital (CONICET)
spelling SWELL: An open-access experimental dataset for arrays of wave energy conversion systemsFaedo, Nicolás EzequielPeña Sanchez, YeraiPasta, EdoardoPapini, GuglielmoMosquera, FacundoFerri, FrancescoARRAYDATA-BASED MODELLINGFARMMODEL VALIDATIONWAVE ENERGYWAVE ENERGY CONVERTERShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy.Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; ItaliaFil: Peña Sanchez, Yerai. Universidad del País Vasco; EspañaFil: Pasta, Edoardo. Politecnico di Torino; ItaliaFil: Papini, Guglielmo. Politecnico di Torino; ItaliaFil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; ArgentinaFil: Ferri, Francesco. Aalborg University; DinamarcaPergamon-Elsevier Science Ltd2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/227210Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; et al.; SWELL: An open-access experimental dataset for arrays of wave energy conversion systems; Pergamon-Elsevier Science Ltd; Renewable Energy; 212; 5-2023; 699-7160960-1481CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0960148123006924info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2023.05.069info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:10:59Zoai:ri.conicet.gov.ar:11336/227210instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:11:00.227CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
title SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
spellingShingle SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
Faedo, Nicolás Ezequiel
ARRAY
DATA-BASED MODELLING
FARM
MODEL VALIDATION
WAVE ENERGY
WAVE ENERGY CONVERTERS
title_short SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
title_full SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
title_fullStr SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
title_full_unstemmed SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
title_sort SWELL: An open-access experimental dataset for arrays of wave energy conversion systems
dc.creator.none.fl_str_mv Faedo, Nicolás Ezequiel
Peña Sanchez, Yerai
Pasta, Edoardo
Papini, Guglielmo
Mosquera, Facundo
Ferri, Francesco
author Faedo, Nicolás Ezequiel
author_facet Faedo, Nicolás Ezequiel
Peña Sanchez, Yerai
Pasta, Edoardo
Papini, Guglielmo
Mosquera, Facundo
Ferri, Francesco
author_role author
author2 Peña Sanchez, Yerai
Pasta, Edoardo
Papini, Guglielmo
Mosquera, Facundo
Ferri, Francesco
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv ARRAY
DATA-BASED MODELLING
FARM
MODEL VALIDATION
WAVE ENERGY
WAVE ENERGY CONVERTERS
topic ARRAY
DATA-BASED MODELLING
FARM
MODEL VALIDATION
WAVE ENERGY
WAVE ENERGY CONVERTERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy.
Fil: Faedo, Nicolás Ezequiel. Politecnico di Torino; Italia
Fil: Peña Sanchez, Yerai. Universidad del País Vasco; España
Fil: Pasta, Edoardo. Politecnico di Torino; Italia
Fil: Papini, Guglielmo. Politecnico di Torino; Italia
Fil: Mosquera, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina
Fil: Ferri, Francesco. Aalborg University; Dinamarca
description Achieving large-scale commercial exploitation of ocean wave energy inherently encompasses the design and deployment of arrays of wave energy converters (WECs), in an effort to reduce the associated levelised cost of energy. In this context, understanding the interactions between devices in a controlled WEC array is hence essential to achieve optimal layout configurations, as well as to provide guidance on the area required for array installation, reliability, life-time, and overall cost of the farm. Successful achievement of these vital objectives for the wave energy industry has been constantly aided by the use of appropriate numerical models. Regardless of the specific modelling approach adopted, model reliability is always a major concern: Numerical models need to able be to represent reality to be useful in supporting the different stages of development, hence providing significant results for decision making. To test reliability of a model, experimental results are an invaluable asset for validation. Recognising the striking absence of real-world data concerning arrays of WEC systems, and its inherent value for model validation and data-based modelling purposes, we present, in this paper, an experimental campaign fully conducted with the sole objective of generating and providing an open-access dataset on WEC farms: SWELL (Standardised Wave Energy converter array Learning Library). The generated dataset, included alongside this manuscript, comprises an approximate total of ∼3000 variables and more than ∼108 datapoints, for up to 5 devices in 9 diverse WEC array layouts with different levels of interaction, and 19 carefully selected operating conditions. Four different categories of tests are considered, providing measures of key variables required for model validation and data-based modelling tasks. As such, SWELL provides a crucial resource to achieve confidence in numerical modelling, helping towards creating reliable tools for decision making in the WEC field, hence effectively supporting the pathway towards effective commercialisation of ocean wave energy.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/227210
Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; et al.; SWELL: An open-access experimental dataset for arrays of wave energy conversion systems; Pergamon-Elsevier Science Ltd; Renewable Energy; 212; 5-2023; 699-716
0960-1481
CONICET Digital
CONICET
url http://hdl.handle.net/11336/227210
identifier_str_mv Faedo, Nicolás Ezequiel; Peña Sanchez, Yerai; Pasta, Edoardo; Papini, Guglielmo; Mosquera, Facundo; et al.; SWELL: An open-access experimental dataset for arrays of wave energy conversion systems; Pergamon-Elsevier Science Ltd; Renewable Energy; 212; 5-2023; 699-716
0960-1481
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0960148123006924
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.renene.2023.05.069
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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